AI-Led MIS & BI Leader (Remote)

Retail Jeweller; United States; Hybrid; USD 32,000 - 63,000; Full time

Job summary

The Retail Jeweller is seeking an AI-Led Business Automation & MIS Manager to build a real-time, AI-driven MIS across six divisions. You will design data models, dashboards and automated workflows to empower leaders with actionable insights.

Remote/work-from-home with 1 day per week in Mumbai office during initial transformation; early months require close collaboration with the management team to shape data architecture and governance.

Qualifications

• Bachelor/Master degree in Engineering, Computer Science, Statistics, Econometrics, Data Science, AI or Business Analytics.
• Strong practical experience in MIS, BI, data modelling, dashboards and business analytics is essential.
• Power BI experience is strongly preferred; data warehousing knowledge is a plus.

Responsibilities

• Translate business requirements into data-driven management tools.
• Design and maintain data marts and data models.
• Build interactive dashboards and visualisations using Power BI and AI-enabled BI tools.
• Standardise and automate business processes.
• Establish data validation, quality and integrity systems.
• Build automated weekly, monthly, quarterly and annual MIS.
• Create management dashboards and business scorecards.
• Develop AI-led analytical models and decision-support tools.
• Monitor data flows across departments.
• Identify correlations, trends, opportunities and bottlenecks.
• Bridge traditional MIS, BI, analytics and AI.

Skills

MIS & BI

AI & automation

Power BI

Data modelling

Dashboards

Business analytics

Education

Bachelor/Master in Engineering or CS or Statistics or Data Science

Tools

Power BI

SAP BDC / Datasphere

Job description

The Retail Jeweller is seeking an AI-Led Business Automation & MIS Manager to build a real-time, AI-driven MIS across six divisions. You will design data models, dashboards and automated workflows to empower leaders with actionable insights.

Remote/work-from-home with 1 day per week in Mumbai office during initial transformation; early months require close collaboration with the management team to shape data architecture and governance.